oma-recap
Summarize AI conversation histories for a specified date or period.
Install / Use
npx skills add first-fluke/oh-my-agent --skill oma-recapInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Content & MediaSupported Platforms
Tags
Our assessment of oma-recap
oma-recap scores 89/100 on our quality scale, 381st of 1,031 Content & Media skills we index (top 37%).
Its SKILL.md is 9.9 KB long, well organised into 42 sections with 4 code examples: a thorough specification that gives an agent plenty to work with.
With 1,324 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 7 days ago, so oma-recap is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
oma-recap compared with similar skills
All 4 of these similar skills score higher than oma-recap; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| oma-recap (this skill)by first-fluke | 89 | 1.3k | 7d ago | SKILL.md |
| siyuanby siyuan-note | 100 | 46.6k | today | MCP Server |
| algorithmic-artby anthropics | 100 | 177.9k | 8d ago | SKILL.md |
| pptxby anthropics | 100 | 177.9k | 8d ago | SKILL.md |
| designby nextlevelbuilder | 100 | 130.2k | 9d ago | SKILL.md |
Frequently asked questions
- How do I install oma-recap?
- Run
npx skills add first-fluke/oh-my-agent --skill oma-recap. The install tabs above show the steps for each supported agent. - Which AI agents does oma-recap work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is oma-recap safe to use?
- It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is oma-recap still maintained?
- The repository was last updated 7 days ago, so oma-recap is actively maintained.
Skill content
View source on GitHubname: oma-recap description: Summarize AI conversation histories for a specified date or period. Use for daily work recaps and cross-tool activity summaries.
AI Tool Conversation History Summary
Analyze AI tool conversation histories for a given period and generate themed work summaries.
Scheduling
Goal
Collect AI tool conversation history for a date or window and synthesize it into a themed, project-oriented recap with saved Markdown output.
Intent signature
- User asks for daily recap, weekly/monthly summary, standup notes, work log, tool usage pattern, or AI conversation history analysis.
- User wants conversation histories grouped by work content rather than raw chronological logs.
When to use
- Summarizing a day or period of work activity
- Understanding the overall flow of work across multiple AI tools
- Analyzing tool-switching patterns between sessions
- Preparing daily standups, weekly retros, or work logs
When NOT to use
- Git commit-based code change retrospective -> use
oma retro - Real-time agent monitoring -> use
oma dashboard terminal - Productivity metrics -> use
oma stats get
Expected inputs
- Date, relative date, time window, or tool filter
- Conversation history available through
oma recap --jsonor fallback sources - Desired daily or multi-day recap scope
Expected outputs
- Markdown recap saved to
.agents/results/recap/{date}.mdor range filename - TL;DR, overview, themes/projects, miscellaneous or side projects, and tool usage patterns
- User-facing summary in configured response language
Dependencies
oma recap --json- Optional Claude fallback history at
~/.claude/history.jsonl .agents/oma-config.yamlfor language behavior
Control-flow features
- Branches by date resolution, window length, available tool history, and daily vs multi-day output shape
- Reads local history data and writes Markdown recap files
- Groups by content, not by tool
Structural Flow
Entry
- Resolve requested date or window.
- Collect normalized conversation history.
- Decide daily versus multi-day output structure.
Scenes
- PREPARE: Resolve time range and tool filters.
- ACQUIRE: Collect history through CLI or fallback; retain completion evidence where available.
- REASON: Group by content and classify each item as requested, in progress, or completed from its evidence.
- ACT: Write recap Markdown in the required format.
- VERIFY: Check that every completion claim has direct evidence, then check grouping, language, and output path.
- FINALIZE: Save and display summary.
Transitions
- If no date is specified, use today via
--date(bare--windowis a rolling window ending now, not calendar-aligned). - If window is 3 days or longer, group by project instead of day chronology.
- If CLI is unavailable, use Claude fallback only and report scope limits.
- If tasks are under threshold, group them into Miscellaneous or Side Projects.
Failure and recovery
- If history is unavailable, report missing source and requested range.
- If timestamps are ambiguous, use configured timezone and state assumption.
- If extracted data is sparse, produce a concise recap and note limited coverage.
Exit
- Success: recap file exists and summary is displayed.
- Partial success: missing tools/history or fallback-only coverage is explicit.
Logical Operations
Actions
| Action | SSL primitive | Evidence |
|--------|---------------|----------|
| Resolve date/window | INFER | Natural-language date rules |
| Collect history | CALL_TOOL | oma recap --json or jq fallback |
| Read extracted records | READ | Conversation history |
| Group and classify themes/projects | INFER | Time/content rules plus prompt, progress, completion, receipt, or artifact evidence |
| Validate output shape | VALIDATE | Daily or multi-day template |
| Write recap | WRITE | .agents/results/recap/ |
| Report summary | NOTIFY | Displayed recap |
Tools and instruments
oma recap --jsonjqfallback for Claude history- Markdown output templates
Canonical command path
oma recap --date YYYY-MM-DD --json
oma recap --window 7d --json
oma recap --json # rolling last 24h, not "today"
Resource scope
| Scope | Resource target |
|-------|-----------------|
| LOCAL_FS | Conversation history and recap output files |
| PROCESS | oma recap, jq, date commands |
| USER_DATA | Conversation prompts and project activity |
| MEMORY | Theme grouping and summary notes |
Preconditions
- Requested time range can be resolved.
- At least one history source is available.
Effects and side effects
- Writes recap Markdown under
.agents/results/recap/. - Reads local conversation history data.
Guardrails
- Evidence status: A prompt alone proves a request, not a result. Mark work completed only with an explicit completion/result message, a receipt, or an artifact that supports the stated outcome. Mark it in progress with progress evidence; otherwise call it requested. Do not infer completion from a tool invocation or elapsed time.
- TL;DR required: Top 3 supported outcomes. Use "completed" only when the evidence-status rule permits it; otherwise summarize requested or in-progress work plainly. Project name + status/outcome. No tool names or unnecessary detail.
- Overview: After TL;DR, describe the flow. Start with "I" as subject and preserve evidence status.
- Daily: themes by time block (15+ min). Rest goes to "Miscellaneous".
- Multi-day (3d+): sections by project, ordered by activity. Read like a sprint report, not a daily log.
- 2-4 bullets per theme/project: Concise essentials only. Don't enumerate every step.
- Themes by content: Group by actual work, not by tool.
- Time range (daily only):
(AM/PM/Evening HH:MM~HH:MM). AM: ~12:00, PM: 12:00~18:00, Evening: 18:00~. - Save results: Write markdown to
.agents/results/recap/. - Response language: Follows
languagesetting in.agents/oma-config.yamlif configured. - No em dashes: Use commas, periods, or parentheses instead of
—(em dash).
Process
1. Resolve Date
Determine the target date or window from the user's natural language input. Default is today.
Resolution rules:
- Relative day references (today, yesterday, day before yesterday, etc.) → calculate
--date YYYY-MM-DD - Specific date mentions (month + day, or full date) → convert to
--date YYYY-MM-DD - Relative weekday references (last Monday, this Friday, etc.) → calculate the date
- Period references (this week, last 3 days, past 2 weeks, etc.) → convert to
--window Nd - No date specified → today, resolved to
--date YYYY-MM-DD(bare--window 1dis a rolling 24-hour window ending now, not the calendar day) - The CLI caps windows at 30 days (longer values are trimmed with a warning) — when a requested period gets capped, say so in the recap
2. Collect Data
Extract normalized conversation history via CLI.
# Today (calendar day, all tools)
oma recap --date $(date +%F) --json
# Last 24 hours (rolling window ending now)
oma recap --json
# Time window (rolling, ends now; capped at 30d)
oma recap --window 7d --json
# Specific date
oma recap --date 2026-04-10 --json
# Tool filter (supported: grok, claude, codex, gemini, qwen, cursor, antigravity)
oma recap --tool claude,codex --json
Fallback when CLI is not installed: process Claude history only via inline jq:
# Uses the system timezone; export TZ=<zone> first to override, and state the
# timezone assumption in the recap (per the Failure and recovery rules).
TARGET_DATE=$(date +%Y-%m-%d)
# macOS/BSD date:
start_ts=$(date -j -f "%Y-%m-%d %H:%M:%S" "${TARGET_DATE} 00:00:00" +%s)000
# Linux/GNU date alternative:
# start_ts=$(date -d "${TARGET_DATE} 00:00:00" +%s)000
end_ts=$((start_ts + 86400000))
jq -r --argjson start "$start_ts" --argjson end "$end_ts" '
select(.timestamp >= $start and .timestamp < $end and .display != null and .display != "") |
{
time: (.timestamp / 1000 | localtime | strftime("%H:%M")),
project: (.project | split("/") | .[-1]),
prompt: (.display | gsub("\n"; " ") | if length > 150 then .[0:150] + "..." else . end)
}
' ~/.claude/history.jsonl
3. Theme Analysis and Grouping
Read all extracted data and analyze with the following criteria:
Grouping rules:
- Only classify as a separate theme if the work spans 15+ minutes (based on timestamp gaps and prompt count)
- Merge consecutive prompts on the same topic into one theme
- Collect sub-15-minute tasks into a "Miscellaneous" section
- Group by work content, not by tool
Cross-tool analysis:
- Track workflow when multiple tools are used in the same time window
- Example: "Designed in Antigravity -> Implemented in Claude -> Reviewed in Codex"
- Derive insights from tool-switching patterns
Extract from each theme:
- Core work performed
- Key decisions made
- Tool combinations used
- Artifacts produced (docs, code, config, etc.)
4. Output Format
Save results to .agents/results/recap/{date}.md and display simultaneously.
Use the markdown templates in resources/output-formats.md:
- Daily format (1d or specific date): TL;DR → Overview → time-blocked themes → Miscellaneous → Tool Usage Patterns.
- Multi-day format (3d+): project-driven sprint-report structure with Side Projects for small (<30 prompts) work; follow the multi-day grouping rules in the same file.
Response language follows language setting in .agents/oma-config.yaml.
5. Save Results
Save to .agents/results/recap/{date}.md.
For window ranges, use {start-date}~{end-date}.md format.
# Example paths
.agents/results/recap/2026-04-12.md
.agents/results/recap/2026-04-06~2026-04-12.md
References
- Output format templates:
resources/output-formats.md - Recap CLI:
oma recap --json - Output directory:
.agents/results/recap/ - Language config:
.agents/oma-config.yaml - Claude fallback history:
~/.claude/history.jsonl
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
